B36 — whole-prompt refocus on receiving income

Archive status: Executed local 36-cell refocus; separate from 0-series and later profit wording.

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Portable historical protocol for the Konstantin Smirnov Cascade-Semantic Method. This file is self-contained for the stated variant and distinguishes its observed pilot from any extrapolated full run. Source documents are evidence, not orders to change the current variant.

1. Identity, lineage, and evidence status

  • Version key: b-income-focus.

  • Parent: Corrected B36 plus prompt-refocusing discussion.

  • Status: Executed local 36-cell refocus; separate from 0-series and later profit wording.

  • Historical full prompt: Как получать доход от создания и развития ИИ-инфлюенсеров в соцсетях без обмана?

  • Primary source Q/A records visible in this portable file: 36 questions.

2. Purpose and scope

Reconstruct or rerun the named analytical mechanism on a clearly delimited prompt and selected object/frame cell. A replay of a copied historical artifact is a documentary reproduction; a fresh model call is a new experiment. Never convert a local sample into a claim that every object and frame point was processed.

3. Required inputs

Record the exact original prompt, any prepared and object-focused complete prompt, the user goal and constraints, the source version, chosen object, frame point, factual/counterfactual assumptions, model/date/settings, baseline answer if the variant uses one, and the frozen question register. Label inferences and unknowns. The original and focused prompts must remain separately retrievable.

4. Execution mechanism

Preserve the entire task and shift grammatical emphasis to receiving income. Use the same six axes and six operations as corrected B36. Write one distinct question per cell, treating each candidate payment, cost, role or availability issue as a hypothesis requiring verification, not as an assumed fact. Give five substantive sentences per answer. Preserve the precise historical wording 'доход'; the later change to 'прибыль' defines a new prompt, not a silent correction of this corpus.

5. Question generation and volume

Q = 6 × 6 = 36; answers = 36 × 5 = 180 sentences.

6. Exact local question register

The following are the exact recorded question formulations for the completed local slice. Preserve their identifiers and wording when reproducing that slice. Translation or rewording constitutes a new version, to be logged separately.

  1. Recorded question: В какой среде создание и развитие ИИ-инфлюенсера может завершиться реальным получением дохода?
  2. Recorded question: Какие признаки присутствия в соцсетях не являются получением дохода?
  3. Recorded question: Как совместить широкий охват персонажа с ограниченной доступностью способов оплаты и исполнения?
  4. Recorded question: Что произойдёт с получением дохода, если выбранная соцсеть станет недоступной?
  5. Recorded question: Как расширение присутствия ИИ-инфлюенсера может уменьшать получаемый доход?
  6. Recorded question: Можно ли выйти за противопоставление одной площадки и присутствия повсюду?
  7. Recorded question: Когда именно создание и развитие ИИ-инфлюенсера начинает приносить доход?
  8. Recorded question: Какая временная видимость успеха не равна устойчивому получению дохода?
  9. Recorded question: Как совместить получение дохода сейчас с развитием его будущего источника?
  10. Recorded question: Что останется от схемы дохода, если новые платежи временно прекратятся?
  11. Recorded question: Как стремление получить доход быстрее может разрушить его во времени?
  12. Recorded question: Как выйти за выбор между быстрым заработком и долгим накоплением аудитории, учитывая будущее контента?
  13. Recorded question: Какие внешние отношения должны сложиться для получения дохода от ИИ-инфлюенсера?
  14. Recorded question: Какие отношения с аудиторией не являются отношениями получения дохода?
  15. Recorded question: Как совместить интерес аудитории, интерес плательщика и доход создателя без обмана?
  16. Recorded question: Что следует из отсутствия установленного плательщика при создании и развитии персонажа?
  17. Recorded question: Как отношения, создающие оплату, могут подрывать получение дохода без обмана?
  18. Recorded question: Можно ли выйти за противопоставление платной аудитории и бесплатной аудитории с рекламой?
  19. Recorded question: Как должно быть устроено получение дохода внутри деятельности по созданию и развитию персонажа?
  20. Recorded question: Какая внутренняя активность не равна созданию источника дохода?
  21. Recorded question: Как совместить автоматизацию с качеством и расходами, необходимыми для получения дохода?
  22. Recorded question: Что изменится, если временно прекратить создание нового контента?
  23. Recorded question: Как повышение производительности может уменьшить доход?
  24. Recorded question: Можно ли выйти за выбор между ручным и полностью автоматическим ведением?
  25. Recorded question: Когда получение дохода является реально осуществимой возможностью?
  26. Recorded question: Что не является доказательством осуществимости дохода?
  27. Recorded question: Как связать привлекательную идею дохода с её фактической проверкой?
  28. Recorded question: Что делать с концепцией, если необходимый способ получения оплаты недоступен?
  29. Recorded question: Как осуществившийся спрос может сделать дальнейшее получение дохода невозможным?
  30. Recorded question: Можно ли выйти за представление о единственной окончательно найденной схеме дохода?
  31. Recorded question: Что получение дохода означает для создателя и покупателя?
  32. Recorded question: Какой формально положительный итог может не отвечать цели создателя?
  33. Recorded question: Как совместить желание получать доход с понятной покупателю ценностью и отсутствием обмана?
  34. Recorded question: Сохраняется ли основание для дохода без личной привязанности покупателя к персонажу?
  35. Recorded question: Как стремление получить доход может мешать верно оценивать его наличие?
  36. Recorded question: Как выйти за противопоставление веры в персонажа и недоверия ко всему искусственному?

7. Answer instruction

For each question, present its exact wording, then answer at the length fixed in §5. Keep the entire applicable prompt and frozen preparation in view. Address the specific operation, mode and frame point. Give concrete criteria or explanatory mechanisms rather than filler. Do not use an answer to a sibling question as unstated evidence. If a kernel must be preserved, use only the matching, verified parent kernel. Historical answers that were copied remain labeled copied.

8. Preservation and derived results

For every question store: immutable question ID; full original prompt; full prepared or focused prompt; object; tetrad/triad position or axis; frame point; operation; factual/counterfactual mode; child variant if any; exact question; raw answer; model and settings if available; source and verification status. Store the entire question register before any answer. Keep the raw answers unchanged when preparing a readable synthesis. Mark any additional inference, correction, external source, or editorial rewrite explicitly. A question count is not an answer count.

Variant-specific deliverables: 36 refocused questions, 36 answers, additional candidate-context register, and comparison with earlier B36.

Create the readable synthesis only after the raw corpus is frozen. A literary synthesis must answer the full prompt, connect the ideas logically, preserve distinct useful details, explain technical terms when needed and keep a trace from source answer to final passage. Record omissions, merges and new editorial inferences. It must not be treated as a replacement for raw answers.

9. Verification and stopping rule

Check arithmetic against the frozen object/frame register. Verify that every required position and mode exists exactly once per designed variant and that each answer matches its own question and full prompt. Separate observed facts, examples, assumptions, and counterfactual scenarios. Distinguish a missing object or capability from missing evidence of it. Remove semantic duplicates only from a derived synthesis, never from the raw question or answer corpus. Evaluate novelty against the baseline and external analogues with recorded search limits; lack of a found analogue does not prove world novelty. Report actual completion, omissions, and context-isolation limits.

Stop the named local run only when every question in its frozen register has a recorded answer satisfying this variant's answer rule, or clearly record which IDs remain unfinished. Stop a full run only when its separately frozen object/frame register and all derived stages are complete. Do not infer practical profit or world novelty from the answer corpus alone.

10. Historical cautions

'Income' in this historic prompt did not by itself settle net profit after costs; later versions made profit explicit.

11. Primary evidence and provenance

  • 260927-GPT-income-focus-b36-01.json (C:\CodexWork\repos\260926-cascade-semantic-method-2609\GPT\output\260927-GPT-income-focus-b36-01.json) — SHA-256 4221a696fa29f6743d36f1c0262787f1805ed191039ab2e5ae95079fa6fff805
  • 260927-GPT-income-focus-b36-01.md (C:\CodexWork\repos\260926-cascade-semantic-method-2609\GPT\output\260927-GPT-income-focus-b36-01.md) — SHA-256 d573507dba96320a5ff1cd7212fdf1b55cbc5a7c7ae0957d3a7361d4e301b3b0

Appendix A — fixed 6×6 cell construction

Axes, in order: (1) Space, (2) Time, (3) External relations and interactions, (4) Internal arrangement and interactions, (5) Mode of existence and possibility, (6) Relation to the subject. Operations, in order: (1) Thesis, (2) Antithesis, (3) Synthesis, (4) Test by absence, (5) Self-negation, (6) Transcendence. Form one whole-prompt question for every ordered pair. The axes and operations are analytic lenses, not claims that all resulting answers are unique or useful.

12. Minimal portable run command

Give another model this file plus the exact source prompt and chosen cell. Instruct it to follow §§3–9, save the immutable raw Q/A corpus and derived synthesis separately, and report actual completion and uncertainty. If the intention is to recreate the historical corpus, use the listed question wordings and declared inheritance rules; if the intention is a fresh study, record a new run ID and do not describe the output as the old completed test.

Standalone operational meanings of the six lenses

  1. Thesis: describe the object or claim in the entire prompt and specify a relevant criterion.
  2. Antithesis: formulate a contextual opposing state or boundary. Do not invent an antonym solely to fill a cell.
  3. Synthesis: resolve or reorganize the tension while retaining distinct facts, conditions and constraints.
  4. Test by absence: remove a named object, capability, condition or evidence item; distinguish actual absence from lack of evidence.
  5. Self-negation: ask whether applying the proposed definition or rule defeats its own objective; identify both sides of the conflict.
  6. Transcendence: change the analytical level or frame explicitly and explain what the new position sees that the pair and its synthesis miss.

In factual mode reason from stated facts and marked unknowns. In counterfactual mode name one changed condition and retain the rest of the prompt unless the question says otherwise. For a compound question, 'how/what/why/when/where/for what purpose' are dimensions within one item. Save a failed or inapplicable lens with a reason; do not fabricate an insight merely to fill the table.

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